Summary
David Heaney is a Machine Learning and Computer Vision consultant with 14 years of hands-on experience building production ML systems that let machines see and reason about the physical world. Based in Cambridge, MA, he has owned end-to-end ML lifecycles for industrial inspection and quality control—designing high-throughput image ingestion, custom pre-labeling tooling, and robust measurement system analyses for aerospace ceramics. At Markforged he productionalized the company’s first ML pipeline, led fleet-scale telemetry investigations for failure characterization, and optimized simulation and inference infrastructure across cloud and edge. His background spans embedded and robotics work (ROS, Jetson), modern C++ and TypeScript tooling, and practical sensor calibration and A/B testing to track real-world impact. He blends a theoretical affinity for functional programming and computer vision literature with pragmatic engineering that moves prototypes into repeatable production. An uncommon strength is his ability to pair manufacturing subject-matter expertise with custom tooling to accelerate labeling and ensure measurement-grade model reliability.
14 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at University of Wyoming
Computer Science, Scottish Literature, Computer Science, Scottish Literature at University of Glasgow